Move gpu_acceleration to dev directory

- Move GPU acceleration code from root to dev/gpu_acceleration/
- No active imports found in production apps, CLI, or scripts
- Contains GPU provider implementations, CUDA kernels, and research code
- Belongs in dev/ as development/research code, not production

dev/gpu_acceleration/api_service.py

@@ -0,0 +1,58 @@
+"""
+Refactored FastAPI GPU Acceleration Service
+
+Uses the new abstraction layer for backend-agnostic GPU acceleration.
+"""
+
+from fastapi import FastAPI, HTTPException
+from pydantic import BaseModel
+from typing import Dict, List, Optional
+import logging
+
+from .gpu_manager import GPUAccelerationManager, create_gpu_manager
+
+app = FastAPI(title="AITBC GPU Acceleration API")
+logger = logging.getLogger(__name__)
+
+# Initialize GPU manager
+gpu_manager = create_gpu_manager()
+
+class FieldOperation(BaseModel):
+    a: List[int]
+    b: List[int]
+
+class MultiScalarOperation(BaseModel):
+    scalars: List[List[int]]
+    points: List[List[int]]
+
+@app.post("/field/add")
+async def field_add(op: FieldOperation):
+    """Perform field addition."""
+    try:
+        a = np.array(op.a, dtype=np.uint64)
+        b = np.array(op.b, dtype=np.uint64)
+        result = gpu_manager.field_add(a, b)
+        return {"result": result.tolist()}
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=str(e))
+
+@app.post("/field/mul")
+async def field_mul(op: FieldOperation):
+    """Perform field multiplication."""
+    try:
+        a = np.array(op.a, dtype=np.uint64)
+        b = np.array(op.b, dtype=np.uint64)
+        result = gpu_manager.field_mul(a, b)
+        return {"result": result.tolist()}
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=str(e))
+
+@app.get("/backend/info")
+async def backend_info():
+    """Get backend information."""
+    return gpu_manager.get_backend_info()
+
+@app.get("/performance/metrics")
+async def performance_metrics():
+    """Get performance metrics."""
+    return gpu_manager.get_performance_metrics()